A hierarchical model for the recognition of deformable objects (bibtex)
by Martin Stommel, Klaus-Dieter Kuhnert
Abstract:
This paper proposes a hierarchical model for the recognition of deformable objects. Object categories are modelled by multiple views, views in turn consist of several parts, and parts consist of several features. The main advantage of the proposed model is that its nodes can be tuned with regard to the spatial selectivity. Every node in a category, views or part can thus take on the shape of a simple bag of features or a geometrically selective constellation model including all forms in between. Together with the explicit modelling of multiple views this allows for the modelling of categories with high intra-class variance. Experimental results show a high precision for the recognition of a character from a cartoon data base.
Reference:
Martin Stommel, Klaus-Dieter Kuhnert, "A hierarchical model for the recognition of deformable objects", In ICCVG, Springer, Warsaw, Poland, 2008.
Bibtex Entry:
@INPROCEEDINGS{Stommela,
  author = {Stommel, Martin and Kuhnert, Klaus-Dieter},
  title = {A hierarchical model for the recognition of deformable objects},
  booktitle = ICCVG,
  year = {2008},
  address = {Warsaw, Poland},
  month = {November10--12},
  publisher = {Springer},
  abstract = {This paper proposes a hierarchical model for the recognition of deformable
	objects. Object categories are modelled by multiple views, views
	in turn consist of several parts, and parts consist of several features.
	The main advantage of the proposed model is that its nodes can be
	tuned with regard to the spatial selectivity. Every node in a category,
	views or part can thus take on the shape of a simple bag of features
	or a geometrically selective constellation model including all forms
	in between. Together with the explicit modelling of multiple views
	this allows for the modelling of categories with high intra-class
	variance. Experimental results show a high precision for the recognition
	of a character from a cartoon data base.},
  owner = {pmania},
  timestamp = {2012.11.06}
}
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